axiom/dist/docs/scorers/aggregations/variables/AtLeastOneTrialPasses.md

Axiom AI SDK provides - an API to wrap your AI calls with observability instrumentation. - offline evals - online evals

[**axiom v0.51.1**](../../../README.md)

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[axiom](../../../README.md) / [scorers/aggregations](../README.md) / AtLeastOneTrialPasses

# Variable: AtLeastOneTrialPasses()

> `const` **AtLeastOneTrialPasses**: (`opts`) => [`Aggregation`](../type-aliases/Aggregation.md)\<`"pass@k"`\> = `PassAtK`

User-friendly alias for PassAtK.
Returns 1 if at least one trial passes, 0 otherwise.

Returns 1 if at least one trial score meets or exceeds the threshold, 0 otherwise.
Also known as "pass@k" in evaluation literature.

## Parameters

### opts?

#### threshold?

`number`

The minimum score required for a trial to pass

## Returns

[`Aggregation`](../type-aliases/Aggregation.md)\<`"pass@k"`\>

## Example

```typescript
Scorer('tool-called', fn, { aggregation: PassAtK({ threshold: 0.8 }) })
// scores [0.5, 0.9, 0.6] => 1 (0.9 >= 0.8)
// scores [0.5, 0.6, 0.7] => 0 (none >= 0.8)
```

## Example

```typescript
Scorer('tool-called', fn, { aggregation: AtLeastOneTrialPasses({ threshold: 0.8 }) })
```